- Oct 2022
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interaksyon.philstar.com interaksyon.philstar.com
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Edgerly noted that disinformation spreads through two ways: The use of technology and human nature.Click-based advertising, news aggregation, the process of viral spreading and the ease of creating and altering websites are factors considered under technology.“Facebook and Google prioritize giving people what they ‘want’ to see; advertising revenue (are) based on clicks, not quality,” Edgerly said.She noted that people have the tendency to share news and website links without even reading its content, only its headline. According to her, this perpetuates a phenomenon of viral spreading or easy sharing.There is also the case of human nature involved, where people are “most likely to believe” information that supports their identities and viewpoints, Edgerly cited.“Vivid, emotional information grabs attention (and) leads to more responses (such as) likes, comments, shares. Negative information grabs more attention than (the) positive and is better remembered,” she said.Edgerly added that people tend to believe in information that they see on a regular basis and those shared by their immediate families and friends.
Spreading misinformation and disinformation is really easy in this day and age because of how accessible information is and how much of it there is on the web. This is explained precisely by Edgerly. Noted in this part of the article, there is a business for the spread of disinformation, particularly in our country. There are people who pay what we call online trolls, to spread disinformation and capitalize on how “chronically online” Filipinos are, among many other factors (i.e., most Filipinos’ information illiteracy due to poverty and lack of educational attainment, how easy it is to interact with content we see online, regardless of its authenticity, etc.). Disinformation also leads to misinformation through word-of-mouth. As stated by Edgerly in this article, “people tend to believe in information… shared by their immediate families and friends”; because of people’s human nature to trust the information shared by their loved ones, if one is not information literate, they will not question their newly received information. Lastly, it most certainly does not help that social media algorithms nowadays rely on what users interact with; the more that a user interacts with a certain information, the more that social media platforms will feed them that information. It does not help because not all social media websites have fact checkers and users can freely spread disinformation if they chose to.
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- Apr 2022
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twitter.com twitter.com
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Prof Francois Balloux [@BallouxFrancois]. (2021, December 9). This may have sounded somewhat naïve in early 2020, but by now, I would have expected that anyone with an interest in covid-19 might have acquired some basic notions in infectious disease epidemiology. 1/ [Tweet]. Twitter. https://twitter.com/BallouxFrancois/status/1469063480334561285
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- Feb 2022
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www.medicalnewstoday.com www.medicalnewstoday.com
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How does COVID-19 misinformation compare with other health topics? (2022, January 19). https://www.medicalnewstoday.com/articles/covid-19-misinformation-was-entirely-predictable-experts-say
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- Jan 2022
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royalsociety.org royalsociety.org
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The online information environment | Royal Society. (n.d.). Retrieved January 21, 2022, from https://royalsociety.org/topics-policy/projects/online-information-environment/
Tags
- information environment
- social media
- deepfake
- scientific information
- science
- bots
- censorship
- misleading
- public trust
- interaction
- vaccine
- online platform
- policymaker
- misinformation
- is:webpage
- provenance enhancing technology
- behavioral science
- decision making
- shallowfake
- information
- technology
- academic
- malinformation
- search engine
- lang:en
- climate change
Annotators
URL
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- Dec 2021
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psyarxiv.com psyarxiv.com
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Ning, C., Wu, H., & Liu, Y. (2021). Deliberation in health-related headlines. PsyArXiv. https://doi.org/10.31234/osf.io/e5bn7
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- Nov 2021
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acpinternist.org acpinternist.org
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Frost, M. (n.d.). Busting COVID-19 vaccination myths. Retrieved November 2, 2021, from https://acpinternist.org/archives/2021/11/busting-covid-19-vaccination-myths.htm
Tags
- data
- social media
- safety
- young people
- disinformation
- online
- vaccine
- vaccination rate
- campaign
- USA
- health information
- COVID-19
- vaccine confidence
- FDA
- misinformation
- is:webpage
- trust
- immunization
- misconception
- speaking engagement
- public confidence
- anti-vaccine
- vaccine effectiveness
- lang:en
- risk
- infodemic
- mortality
- BIPOC
Annotators
URL
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- Sep 2021
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www.theguardian.com www.theguardian.com
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Schreiber, M. (2021, September 10). ‘I’m nervous’: US colleges wrestle with Covid safety as fall semester begins. The Guardian. https://www.theguardian.com/us-news/2021/sep/10/covid-coronavirus-us-colleges-fall-semester
Tags
- college
- safety
- online
- vaccine
- sensitive
- USA
- health information
- vaccination
- COVID-19
- is:news
- requirement
- mask
- lang:en
- spread
- contact tracing
- school
- campus
Annotators
URL
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- Mar 2021
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twitter.com twitter.com
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ReconfigBehSci. (2020, November 5). In 4 days: SciBeh workshop ‘Building an online information environment for policy relevant science’ Join us! Topics: Crisis open science, interfacing to policy, online discourse, tools for research curation talks, panels, hackathons https://t.co/SPeD5BVgj3… I https://t.co/kQClhpHKx5 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1324286406764744704
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psyarxiv.com psyarxiv.com
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Simone, Costanza De, Antonella Battisti, and Azzurra Ruggeri. “Differential Impact of Web Habits and Active Navigation on Adolescents’ Online Learning.” PsyArXiv, March 1, 2021. https://doi.org/10.31234/osf.io/hsvc4.
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘1 week to the SciBeh workshop “Building an online information environment for policy relevant science” Join us, register now! Topics: Crisis open science, interfacing to policy, online discourse, tools for research curation talks, panels, hackathons https://t.co/Gsr66BRGcJ https://t.co/uRrhSb9t05’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1323207455283826690
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- Dec 2020
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twitter.com twitter.com
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ReconfigBehSci [@SciBeh] (2020) SciBeh is organising a workshop on "Building an online information environment for policy relevant science" Mark the date, Nov. 9/10, 2020, join us, contact us with thoughts and suggestions, and RT!. Twitter. Retrieved from: https://twitter.com/i/web/status/1309436825753260032
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- Sep 2020
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www.scibeh.org www.scibeh.org
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SciBeh 2020 Workshop on “Building an online information environment for policy relevant science.” (2020, September 23). SciBeh. https://scibeh.org/events/workshop2020/
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- Aug 2020
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socialsciences.nature.com socialsciences.nature.com
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Research, B. and S. S. at N. (2020, May 25). Imagining a different online world. Behavioural and Social Sciences at Nature Research. http://socialsciences.nature.com/users/397838-philipp-lorenz-spreen/posts/imagining-a-different-online-world
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www.youtube.com www.youtube.com
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Webinars in English 🇺🇸—YouTube. (n.d.). Retrieved 24 August 2020, from https://www.youtube.com/playlist?list=PL0n8am2uBRCBUZI5ftm2jQ63tlYrtY4_I
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- Jul 2020
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psyarxiv.com psyarxiv.com
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Sakakibara, R., & Ozono, H. (2020). Psychological Research on the COVID-19 Crisis in Japan: Focusing on Infection Preventive Behaviors, Future Prospects, and Information Dissemination Behaviors. https://doi.org/10.31234/osf.io/97zye
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- Jun 2020
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theplosblog.plos.org theplosblog.plos.org
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Yeolekar, M. (2020, April 30). The Digital Migration: Lessons About Open Science Arising from the COVID19 Crisis. The Official PLOS Blog. https://theplosblog.plos.org/2020/04/the-digital-migration-lessons-about-open-science-arising-from-the-covid19-crisis/
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psyarxiv.com psyarxiv.com
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Veltri, G. A., Prof, Lupiáñez-Villanueva, F., Folkvord, F., Theben, A., & Gaskell, G. (2020, April 29). The impact of online platform transparency of information on consumer’s choices. https://doi.org/10.31234/osf.io/htja5
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Plata, C. A., Pigani, E., Azaele, S., Callejas, V., Palazzi, M. J., Solé-Ribalta, A., Meloni, S., & Suweis, J. B.-H. S. (2020). Neutral Theory for competing attention in social networks. ArXiv:2006.07586 [Physics]. http://arxiv.org/abs/2006.07586
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- May 2020
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www.jmir.org www.jmir.org
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Farooq, A., Laato, S., & Islam, A. K. M. N. (2020). Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study. Journal of Medical Internet Research, 22(5), e19128. https://doi.org/10.2196/19128
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Vilella, S., Paolotti, D., Ruffo, G. et al. News and the city: understanding online press consumption patterns through mobile data. EPJ Data Sci. 9, 10 (2020). https://doi.org/10.1140/epjds/s13688-020-00228-9
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- Apr 2020
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Wang, T., Chen, X., Zhang, Q., & Jin, X. (2020, April 26). Use of Internet data to track Chinese behavior and interest in COVID-19. https://doi.org/10.31234/osf.io/j6m8q
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